Skip Navigation



American Journal of Epidemiology Advance Access published online on November 25, 2008

American Journal of Epidemiology, doi:10.1093/aje/kwn299
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow All Versions of this Article:
169/3/273    most recent
kwn299v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Rassen, J. A.
Right arrow Articles by Brookhart, M. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Rassen, J. A.
Right arrow Articles by Brookhart, M. A.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

American Journal of Epidemiology © The Author 2008. Published by the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org.

Practice of Epidemiology

Instrumental Variable Analysis for Estimation of Treatment Effects With Dichotomous Outcomes

Jeremy A. Rassen, Sebastian Schneeweiss, Robert J. Glynn, Murray A. Mittleman and M. Alan Brookhart

Correspondence to Dr. Jeremy A. Rassen, Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women’s Hospital, 1620 Tremont Street, Suite 3030, Boston, MA 02120 (e-mail: jrassen{at}post.harvard.edu).

Received for publication May 5, 2008. Accepted for publication August 26, 2008.

Instrumental variable analyses are increasingly used in epidemiologic studies. For dichotomous exposures and outcomes, the typical 2-stage least squares approach produces risk difference estimates rather than relative risk estimates and is criticized for assuming normally distributed errors. Using 2 example drug safety studies evaluated in 3 cohorts from Pennsylvania (1994–2003) and British Columbia, Canada (1996–2004), the authors compared instrumental variable techniques that yield relative risk and risk difference estimates and that are appropriate for dichotomous exposures and outcomes. Methods considered include probit structural equation models, 2-stage logistic models, and generalized method of moments estimators. Employing these methods, in the first study the authors observed relative risks ranging from 0.41 to 0.58 and risk differences ranging from –1.41 per 100 to –1.28 per 100; in the second, they observed relative risks of 1.38–2.07 and risk differences of 7.53–8.94; and in the third, they observed relative risks of 1.45–1.59 and risk differences of 3.88–4.84. The 2-stage logistic models showed standard errors up to 40% larger than those of the instrumental variable probit model. Generalized method of moments estimation produced substantially the same results as the 2-stage logistic method. Few substantive differences among the methods were observed, despite their reliance on distinct assumptions.

antipsychotic agents; confounding factors (epidemiology); instrumental variable; pharmacoepidemiology

Abbreviations: APM, antipsychotic medication; COX-2, cyclooxygenase 2; GMM, generalized method of moments; NSAID, nonsteroidal antiinflammatory drug; PACE, Pharmaceutical Assistance Contract for the Elderly


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Eur Heart JHome page
J. A. Rassen, M. A. Mittleman, R. J. Glynn, M. A. Brookhart, and S. Schneeweiss
Safety and effectiveness of bivalirudin in routine care of patients undergoing percutaneous coronary intervention
Eur. Heart J., November 25, 2009; (2009) ehp437v1.
[Abstract] [Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.